Pub Date : 2020-09-05DOI: 10.1109/ICCE50343.2020.9290502
Biplab Bag, S. Biswas, S. Sarkar, P. Sarkar
A multiband moderate gain monopole antenna with parasitic element has been presented in this paper. Two U-shape strips (radiating patch and parasitic element) are situated in face to face. The volume of the proposed antenna is taken about 50x40x1.6mm3. The length of the U-shaped radiating element and parasitic element together excite multiple modes, which produce multiple resonance frequencies. The resonance frequencies are 1.59GHz, 2.41GHz, 4.29GHz, 5.13GHz, and 7.41GHz. The corresponding -10dB bandwidths are 160MHz, 640MHz, and 5090MHz. The peak gains of the proposed antenna are obtained about 5dBi at 2.4GHz, 4.75dBi at 4.3GHz, 4.6dBi at 5.2GHz, and 7dBi at 7.2GHz. The evolution strategy of the proposed antenna structure is explained in the consecutive section. The measured results are experimentally tested and found good in agreement with simulated results.
{"title":"Multiband Monopole Antenna with Moderate Gain","authors":"Biplab Bag, S. Biswas, S. Sarkar, P. Sarkar","doi":"10.1109/ICCE50343.2020.9290502","DOIUrl":"https://doi.org/10.1109/ICCE50343.2020.9290502","url":null,"abstract":"A multiband moderate gain monopole antenna with parasitic element has been presented in this paper. Two U-shape strips (radiating patch and parasitic element) are situated in face to face. The volume of the proposed antenna is taken about 50x40x1.6mm3. The length of the U-shaped radiating element and parasitic element together excite multiple modes, which produce multiple resonance frequencies. The resonance frequencies are 1.59GHz, 2.41GHz, 4.29GHz, 5.13GHz, and 7.41GHz. The corresponding -10dB bandwidths are 160MHz, 640MHz, and 5090MHz. The peak gains of the proposed antenna are obtained about 5dBi at 2.4GHz, 4.75dBi at 4.3GHz, 4.6dBi at 5.2GHz, and 7dBi at 7.2GHz. The evolution strategy of the proposed antenna structure is explained in the consecutive section. The measured results are experimentally tested and found good in agreement with simulated results.","PeriodicalId":421963,"journal":{"name":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133662308","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-05DOI: 10.1109/ICCE50343.2020.9290625
B. Chakraborty, Arijit Mondal, S. Maur, B. Chatterjee, S. Dalai
In this paper mineral oil and vegetable oil have been blended in a certain ratio for preparingfive types of liquid dielectrics in laboratory to investigate their performance as liquid insulation. Then those mixed dielectrics were subjected to time domain dielectric response analysis through PDC measurement. Further from the recorded PDC data, conductivity of each sample has been calculated and compared with the pure mineral oil and vegetable oil. Moreover to realize the temperature effect, PDC data has been recorded in three distinct temperatures. From these data at 25°C, 50°C and 70°C the temperature conductivity dependency of the prepared samples has been investigated. After that activation energy of the prepared samples has been analyzed through PDC measurement using Arrhenius equation.
{"title":"Investigation on Activation Energy and Temperature Conductivity Dependency of Laboratory prepared Mixed Insulation Samples","authors":"B. Chakraborty, Arijit Mondal, S. Maur, B. Chatterjee, S. Dalai","doi":"10.1109/ICCE50343.2020.9290625","DOIUrl":"https://doi.org/10.1109/ICCE50343.2020.9290625","url":null,"abstract":"In this paper mineral oil and vegetable oil have been blended in a certain ratio for preparingfive types of liquid dielectrics in laboratory to investigate their performance as liquid insulation. Then those mixed dielectrics were subjected to time domain dielectric response analysis through PDC measurement. Further from the recorded PDC data, conductivity of each sample has been calculated and compared with the pure mineral oil and vegetable oil. Moreover to realize the temperature effect, PDC data has been recorded in three distinct temperatures. From these data at 25°C, 50°C and 70°C the temperature conductivity dependency of the prepared samples has been investigated. After that activation energy of the prepared samples has been analyzed through PDC measurement using Arrhenius equation.","PeriodicalId":421963,"journal":{"name":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134366184","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-05DOI: 10.1109/ICCE50343.2020.9290641
A. Varshney, S. Biswas, P. S. Bera, Partha Pratim Sarkar
Metamaterial inspired zero order resonator (ZOR) at a desired frequency of around 2.45GHz has been designed and optimized using full wave electromagnetic software for its use in a highly compact antenna that requires zero phase shift. Equivalent circuit of the resonator based on modified composite right left hand transmission line (MCRLHTL) has been obtained and results have been compared with microstrip realization on FR4 epoxy substrate with relative permittivity=4.4 and thickness=1.6mm. The ZOR that is impedance matched with quarter wave transformer depicts monopolar radiation pattern with resonant frequency of 2.49GHz whereas the antenna when impedance matched with single stub tuning depicts patch like radiation pattern with resonant frequencies of 2.42GHz and 2.51GHz.
{"title":"Design of Metamaterial Inspired Miniaturized Microstrip Antennas Based on Zero Order Resonators","authors":"A. Varshney, S. Biswas, P. S. Bera, Partha Pratim Sarkar","doi":"10.1109/ICCE50343.2020.9290641","DOIUrl":"https://doi.org/10.1109/ICCE50343.2020.9290641","url":null,"abstract":"Metamaterial inspired zero order resonator (ZOR) at a desired frequency of around 2.45GHz has been designed and optimized using full wave electromagnetic software for its use in a highly compact antenna that requires zero phase shift. Equivalent circuit of the resonator based on modified composite right left hand transmission line (MCRLHTL) has been obtained and results have been compared with microstrip realization on FR4 epoxy substrate with relative permittivity=4.4 and thickness=1.6mm. The ZOR that is impedance matched with quarter wave transformer depicts monopolar radiation pattern with resonant frequency of 2.49GHz whereas the antenna when impedance matched with single stub tuning depicts patch like radiation pattern with resonant frequencies of 2.42GHz and 2.51GHz.","PeriodicalId":421963,"journal":{"name":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","volume":"363 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132951854","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-05DOI: 10.1109/ICCE50343.2020.9290649
Arjun Hati, Animesh Bhattacharya, Soujanya Ray, Amal K. Ghosh
Innovative technologies always provides an aid for the accomplishment of certain complex goals following an easier and organized approach. Ever since the inception of technological advancement, the minimization of power consumption has always been its prime objective. In the field of digital electronics reversible gates render this amelioration in a substantial way. With the presence of an equal number of inputs and outputs, no bit is lost, hence obtaining a reduction in power loss. In this paper, we have implemented an optical tree architecture (OTA) model of an optical reversible universal quadruple logic gate (ORUQLG). Realization of all the basic logic gates by using reversible universal quadruple gate along with block diagram and truth table is illustrated to prove its universality. The optical model of each gate using Savart plate and spatial light modulator (SLM) is explained to validate its functionality in a multi-valued logic system as well. Finally, simulation of all the circuits is done using python language to prove the authenticity of the developed circuits.
{"title":"Realization and Implementation of Optical Reversible Universal Quadruple Logic Gate (ORUQLG)","authors":"Arjun Hati, Animesh Bhattacharya, Soujanya Ray, Amal K. Ghosh","doi":"10.1109/ICCE50343.2020.9290649","DOIUrl":"https://doi.org/10.1109/ICCE50343.2020.9290649","url":null,"abstract":"Innovative technologies always provides an aid for the accomplishment of certain complex goals following an easier and organized approach. Ever since the inception of technological advancement, the minimization of power consumption has always been its prime objective. In the field of digital electronics reversible gates render this amelioration in a substantial way. With the presence of an equal number of inputs and outputs, no bit is lost, hence obtaining a reduction in power loss. In this paper, we have implemented an optical tree architecture (OTA) model of an optical reversible universal quadruple logic gate (ORUQLG). Realization of all the basic logic gates by using reversible universal quadruple gate along with block diagram and truth table is illustrated to prove its universality. The optical model of each gate using Savart plate and spatial light modulator (SLM) is explained to validate its functionality in a multi-valued logic system as well. Finally, simulation of all the circuits is done using python language to prove the authenticity of the developed circuits.","PeriodicalId":421963,"journal":{"name":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114231330","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-05DOI: 10.1109/ICCE50343.2020.9290574
Sovan Saha, P. Chatterjee, Subhadip Basu, M. Nasipuri
Protein function prediction becomes more challenging to the research community as it can be characterized as multi-label, hierarchical multi-class classification problem. This problem becomes complicated in nature as it suffers from several hardships which can be mentioned as: 1) Multiple functional groups with different confidence degree can be integrated with each protein; 2) Disintegrated multiple types of collected from heterogeneous sources; 3) Presence of functional groups in hierarchical relationship not in independent form; 4) incomplete and missing functional annotation of proteins; 5) Imbalanced proportion of functional groups; 6) Use of experimentally or computationally predicted biological data resulting into misleading inference due to false positive data; 7) Efficacy or weakness of artificially created heuristic driven negative sample (for example, Protein non-interacting data) etc. Considering these factors, in this paper, protein functional annotation is done using protein interaction information, sequence similarity where hierarchical relationship among functional groups are used and facilitated by FunCat taxonomy. Protein Interaction data with annotation of MIPS functional Catalogue and FunCat Taxonomy is used for this work.
{"title":"Multiple Functions Prediction of Yeast Saccharomyces Cerevisiae Proteins using Protein Interaction Information, Sequence Similarity and FunCat Taxonomy","authors":"Sovan Saha, P. Chatterjee, Subhadip Basu, M. Nasipuri","doi":"10.1109/ICCE50343.2020.9290574","DOIUrl":"https://doi.org/10.1109/ICCE50343.2020.9290574","url":null,"abstract":"Protein function prediction becomes more challenging to the research community as it can be characterized as multi-label, hierarchical multi-class classification problem. This problem becomes complicated in nature as it suffers from several hardships which can be mentioned as: 1) Multiple functional groups with different confidence degree can be integrated with each protein; 2) Disintegrated multiple types of collected from heterogeneous sources; 3) Presence of functional groups in hierarchical relationship not in independent form; 4) incomplete and missing functional annotation of proteins; 5) Imbalanced proportion of functional groups; 6) Use of experimentally or computationally predicted biological data resulting into misleading inference due to false positive data; 7) Efficacy or weakness of artificially created heuristic driven negative sample (for example, Protein non-interacting data) etc. Considering these factors, in this paper, protein functional annotation is done using protein interaction information, sequence similarity where hierarchical relationship among functional groups are used and facilitated by FunCat taxonomy. Protein Interaction data with annotation of MIPS functional Catalogue and FunCat Taxonomy is used for this work.","PeriodicalId":421963,"journal":{"name":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121036855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-05DOI: 10.1109/ICCE50343.2020.9290534
Sreemoyee Bose, S. Das, Arijit Dey, Jyotirmoy Das, S. B. Raha
In a country of 1.33 billion people theft of power is one of the greatest problems this country faces. India’s power companies have 10 billon dollar losses every year. With only about 10 thousand arrests only in Delhi and only 12 hundred convicted under the Electricity Conservation Act, 2003, Indian power industry still stand to be knee deep in debt. This paper provides a solution to combat this problem. We have proposed a reliable method to detect a power theft by hooking and by passing of electric meter in low voltage consumer network. In case of this suggested method the energy meter is places in between the two LC traps. The injected signal has high frequency, low magnitude, and is non-interfering in nature from an external high frequency injection circuit. The LC traps are designed to prevent the injected signal from reaching the load. Also, in case of hooking on the transmission line and/or bypassing of energy meter, the initial value of the PSD coefficient changes. To attain this goal, the power spectral density (PSD) coefficients are compared at different required points on the circuit.
{"title":"Power Theft Detection in Low Voltage Distribution Network","authors":"Sreemoyee Bose, S. Das, Arijit Dey, Jyotirmoy Das, S. B. Raha","doi":"10.1109/ICCE50343.2020.9290534","DOIUrl":"https://doi.org/10.1109/ICCE50343.2020.9290534","url":null,"abstract":"In a country of 1.33 billion people theft of power is one of the greatest problems this country faces. India’s power companies have 10 billon dollar losses every year. With only about 10 thousand arrests only in Delhi and only 12 hundred convicted under the Electricity Conservation Act, 2003, Indian power industry still stand to be knee deep in debt. This paper provides a solution to combat this problem. We have proposed a reliable method to detect a power theft by hooking and by passing of electric meter in low voltage consumer network. In case of this suggested method the energy meter is places in between the two LC traps. The injected signal has high frequency, low magnitude, and is non-interfering in nature from an external high frequency injection circuit. The LC traps are designed to prevent the injected signal from reaching the load. Also, in case of hooking on the transmission line and/or bypassing of energy meter, the initial value of the PSD coefficient changes. To attain this goal, the power spectral density (PSD) coefficients are compared at different required points on the circuit.","PeriodicalId":421963,"journal":{"name":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130813513","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-05DOI: 10.1109/ICCE50343.2020.9290598
R. Barua, S. Datta, P. Datta, A. Chowdhury
Needle insertion process of tissue engineering is one the most significant process in biomedical and tissue engineering. Tissue deformation will occur when needle try to punctures the tissue upper surface, it is an important issues of needle insertion process, which results the needle exact location into the tissue. In this study, a tissue deformation model of needle insertion process is discussed. A conical type of needle is used for needle penetration process. The techniques for calculating the radius and depth of the deformation are presented to estimate the volume of needle tissue deformation. The total needle force is also calculated, and the maximum displacement of the needle inside the tissue has been introduced.
{"title":"Experimental Analysis the Tissue Deformation of Needle Insertion Process in Tissue Engineering","authors":"R. Barua, S. Datta, P. Datta, A. Chowdhury","doi":"10.1109/ICCE50343.2020.9290598","DOIUrl":"https://doi.org/10.1109/ICCE50343.2020.9290598","url":null,"abstract":"Needle insertion process of tissue engineering is one the most significant process in biomedical and tissue engineering. Tissue deformation will occur when needle try to punctures the tissue upper surface, it is an important issues of needle insertion process, which results the needle exact location into the tissue. In this study, a tissue deformation model of needle insertion process is discussed. A conical type of needle is used for needle penetration process. The techniques for calculating the radius and depth of the deformation are presented to estimate the volume of needle tissue deformation. The total needle force is also calculated, and the maximum displacement of the needle inside the tissue has been introduced.","PeriodicalId":421963,"journal":{"name":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122758692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-05DOI: 10.1109/ICCE50343.2020.9290642
Mousumi Jana Bala, Debarsi Roy, A. Sengupta
This paper presents the design of a radial flux Brushless dc (BLDC) motor with a special type of permanent magnet arrangement known as Halbach-array magnet arrangement. Halbach-array magnets are placed in between the rotor poles and its magnetization is set in such a way so that it increases the overall air gap flux density. The performance of the Halbach-BLDC motor is analyzed. The aim of this paper is to compare the design and performances of a Halbach-BLDC motor with a conventional BLDC motor. The designs are tested using FEA solutions. The experiment shows that the Halbach-BLDC motor enhances the performance by increasing its speed, overall torque and the magnetic flux density. A 48V 0.5kW 8 pole Halbach-BLDC motor is designed and analysed using Ansys Maxwell software.
{"title":"The Performance Enhancement of BLDC Motor Using Halbach Array Rotor","authors":"Mousumi Jana Bala, Debarsi Roy, A. Sengupta","doi":"10.1109/ICCE50343.2020.9290642","DOIUrl":"https://doi.org/10.1109/ICCE50343.2020.9290642","url":null,"abstract":"This paper presents the design of a radial flux Brushless dc (BLDC) motor with a special type of permanent magnet arrangement known as Halbach-array magnet arrangement. Halbach-array magnets are placed in between the rotor poles and its magnetization is set in such a way so that it increases the overall air gap flux density. The performance of the Halbach-BLDC motor is analyzed. The aim of this paper is to compare the design and performances of a Halbach-BLDC motor with a conventional BLDC motor. The designs are tested using FEA solutions. The experiment shows that the Halbach-BLDC motor enhances the performance by increasing its speed, overall torque and the magnetic flux density. A 48V 0.5kW 8 pole Halbach-BLDC motor is designed and analysed using Ansys Maxwell software.","PeriodicalId":421963,"journal":{"name":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123966005","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-05DOI: 10.1109/ICCE50343.2020.9290718
Saurav Kumar, R. Mishra, Anuran Mitra, Soumita Biswas, Sayantani De, Raja Karmakar
Artificial Neural Networks (ANNs) give a practical, general method for learning discrete-valued, real-valued, and vector-valued functions from examples. The algorithms used for training models aim to construct an optimization framework and apprehend the parameters in the target function from the provided dataset. ANN learning is vigorous to errors in the training data which has been successfully applied to scenarios like speech recognition, interpreting visual scenes and robotics. This paper basically aims to provide an experimental study to compare various optimization or training algorithms and determines the best suited optimization method corresponding to a particular dataset in terms of accuracy and loss. To the best of our knowledge, this paper is the first to consider different learning rate values to study the comparison between different training or optimization algorithms.
{"title":"A Relative Comparison of Training Algorithms in Artificial Neural Network","authors":"Saurav Kumar, R. Mishra, Anuran Mitra, Soumita Biswas, Sayantani De, Raja Karmakar","doi":"10.1109/ICCE50343.2020.9290718","DOIUrl":"https://doi.org/10.1109/ICCE50343.2020.9290718","url":null,"abstract":"Artificial Neural Networks (ANNs) give a practical, general method for learning discrete-valued, real-valued, and vector-valued functions from examples. The algorithms used for training models aim to construct an optimization framework and apprehend the parameters in the target function from the provided dataset. ANN learning is vigorous to errors in the training data which has been successfully applied to scenarios like speech recognition, interpreting visual scenes and robotics. This paper basically aims to provide an experimental study to compare various optimization or training algorithms and determines the best suited optimization method corresponding to a particular dataset in terms of accuracy and loss. To the best of our knowledge, this paper is the first to consider different learning rate values to study the comparison between different training or optimization algorithms.","PeriodicalId":421963,"journal":{"name":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123800368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-05DOI: 10.1109/ICCE50343.2020.9290505
Riya Mishra, S. Mandal, S. Bala
A miniaturized dual-band rectangular MSA (Microstrip Antenna) has been presented in this article. The miniaturization and two bands characteristics have been achieved by inserting U, L, O, and rectangular type slots on the metal rectangular patch and DGS (Defected-Ground-Structure) on the ground. Suggested MSA provides two bands, one range from 3.13-3.27 GHz with 3.2 GHz resonant frequency and 4.4% of bandwidth while the other one ranges from 4.93-5.08 GHz with resonant frequency of 5.0 GHz and 3% of bandwidth. The gain (simulated) at 3.0 GHz and 5.0 GHz are 1.18 dBi and 1.67 dBi respectively. The achieved compactness of the suggested MSA is 71.1%. The radiation patterns are acceptable at 3.2 GHz and 5.0 GHz. The suggested MSA is modelled by Ansoft Designer V2 software and energized by 50 Ω coaxial feed line. Return loss, maximum gain and radiation patterns are discussed here. The antenna is very simple to model and very low-cost dielectric material is used. The antenna is useful for wireless applications.
{"title":"Design of A Dual-Band Rectangular MSA Using U, L, O and rectangular Slots on Metal Patch and Inverted L like DGS on Ground Plane","authors":"Riya Mishra, S. Mandal, S. Bala","doi":"10.1109/ICCE50343.2020.9290505","DOIUrl":"https://doi.org/10.1109/ICCE50343.2020.9290505","url":null,"abstract":"A miniaturized dual-band rectangular MSA (Microstrip Antenna) has been presented in this article. The miniaturization and two bands characteristics have been achieved by inserting U, L, O, and rectangular type slots on the metal rectangular patch and DGS (Defected-Ground-Structure) on the ground. Suggested MSA provides two bands, one range from 3.13-3.27 GHz with 3.2 GHz resonant frequency and 4.4% of bandwidth while the other one ranges from 4.93-5.08 GHz with resonant frequency of 5.0 GHz and 3% of bandwidth. The gain (simulated) at 3.0 GHz and 5.0 GHz are 1.18 dBi and 1.67 dBi respectively. The achieved compactness of the suggested MSA is 71.1%. The radiation patterns are acceptable at 3.2 GHz and 5.0 GHz. The suggested MSA is modelled by Ansoft Designer V2 software and energized by 50 Ω coaxial feed line. Return loss, maximum gain and radiation patterns are discussed here. The antenna is very simple to model and very low-cost dielectric material is used. The antenna is useful for wireless applications.","PeriodicalId":421963,"journal":{"name":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126308266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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